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Online Uniform Allocation:Randomized Learning-Augmented Approximation Algorithms with Application to Digital Health
In the OUA problem, the algorithm is given a budget $b$ and a time horizon $T$, and an adversary then chooses a value $\tau^* \in [b, T]$, which is revealed to the algorithm online.
Contextual Bandits with Budgeted Information Reveal
Contextual bandit algorithms are commonly used in digital health to recommend personalized treatments.
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